lengning/EBSeqHMM: Bayesian analysis for identifying gene or isoform expression changes in ordered RNA-seq experiments
Version 1.5.2

The EBSeqHMM package implements an auto-regressive hidden Markov model for statistical analysis in ordered RNA-seq experiments (e.g. time course or spatial course data). The EBSeqHMM package provides functions to identify genes and isoforms that have non-constant expression profile over the time points/positions, and cluster them into expression paths.

Getting started

Package details

AuthorNing Leng, Christina Kendziorski
Bioconductor views Bayesian DifferentialExpression GeneExpression HiddenMarkovModel MultipleComparison RNASeq Sequencing StatisticalMethod TimeCourse
MaintainerNing Leng <[email protected]>
LicenseArtistic-2.0
Version1.5.2
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("lengning/EBSeqHMM")
lengning/EBSeqHMM documentation built on May 21, 2017, 11:40 a.m.